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Citing this Article

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Published on 13.03.18 in Vol 20, No 3 (2018): March

This paper is in the following e-collection/theme issue:

Works citing "Expert Coaching in Weight Loss: Retrospective Analysis"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.9738):

(note that this is only a small subset of citations)

  1. Ryan K, Murphy LE, Linehan C, Dockray S. Theory in practice: identifying theory-based techniques in health coaches’ tailored feedback during a weight loss intervention. Psychology & Health 2020;35(11):1384
    CrossRef
  2. . Erickson health coaching: An innovative approach for weight management in obese patients with obstructive sleep apnoea?. Medical Hypotheses 2018;120:43
    CrossRef
  3. DeJesus RS, Bauer KW, Bradley DP, Haller I, Bradley SM, Schroeder DR, St. Sauver J, Phelan SM, Croghan IT. Experience and expectations of patients on weight loss: The Learning Health System Network Experience. Obesity Science & Practice 2019;5(5):479
    CrossRef
  4. Painter SL, Lu W, Schneider J, James R, Shah B. Drivers of weight loss in a CDC-recognized digital diabetes prevention program. BMJ Open Diabetes Research & Care 2020;8(1):e001132
    CrossRef
  5. Tkacova R, Paranicova I, Timkova E, Vonkova D, Joppa P. Erickson solution-focused coaching for weight management in obese patients with obstructive sleep apnoea: ECOHEALTH pilot study. Journal of Health Psychology 2020;25(13-14):2141
    CrossRef
  6. Liu Y, Yin Z. Understanding Weight Loss via Online Discussions: Content Analysis of Reddit Posts Using Topic Modeling and Word Clustering Techniques. Journal of Medical Internet Research 2020;22(6):e13745
    CrossRef
  7. Arnold EM, Swendeman D, Harris D, Fournier J, Kozina L, Abdalian S, Rotheram MJ. The Stepped Care Intervention to Suppress Viral Load in Youth Living With HIV: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2019;8(2):e10791
    CrossRef
  8. Kim HH, Kim Y, Park YR. Interpretable Conditional Recurrent Neural Network for Weight Change Prediction: Algorithm Development and Validation Study. JMIR mHealth and uHealth 2021;9(3):e22183
    CrossRef
  9. JaKa MM, Dinh JM, Rivard RL, Herrmann SD, Spoonheim J, Pronk NP, Ziegenfuss JY. Pragmatic Evaluation of a Health System-Based Employee Weight Management Program. International Journal of Environmental Research and Public Health 2021;18(11):5901
    CrossRef
  10. Ramuth E, Ramuth S, Pavão TRR, Biacchi KB, Bachi ALL. From Young to Older, the 4 Phases Method Is Efficient in Promoting Quick Weight, BMI, and Waist Circumference Reductions. Healthcare 2022;10(8):1398
    CrossRef
  11. Kaiser B, Stelzl T, Finglas P, Gedrich K. The Assessment of a Personalized Nutrition Tool (eNutri) in Germany: Pilot Study on Usability Metrics and Users’ Experiences. JMIR Formative Research 2022;6(8):e34497
    CrossRef
  12. Mousavi H, Karandish M, Jamshidnezhad A, Hadianfard AM. Determining the effective factors in predicting diet adherence using an intelligent model. Scientific Reports 2022;12(1)
    CrossRef
  13. Sponselee HCS, Kroeze W, Robroek SJW, Renders CM, Steenhuis IHM. Perceptions of employees with a low and medium level of education towards workplace health promotion programmes: a mixed-methods study. BMC Public Health 2022;22(1)
    CrossRef
  14. Sforzo GA, Kaye MP, Faber A, Moore M. Dosing of Health and Wellness Coaching for Obesity and Type 2 Diabetes: Research Synthesis to Derive Recommendations. American Journal of Lifestyle Medicine 2023;17(3):374
    CrossRef
  15. Whiteley JA, Tjaden AH, Bailey CP, Faro J, DiPietro L, Hayman LL, Napolitano MA. Engagement with Digital Weight Loss Intervention Components and Weight Outcomes. Journal of Technology in Behavioral Science 2024;
    CrossRef